001048932 001__ 1048932
001048932 005__ 20251211202155.0
001048932 037__ $$aFZJ-2025-05029
001048932 1001_ $$0P:(DE-Juel1)196813$$aCaspari, Benedict$$b0$$ufzj
001048932 1112_ $$aAging and Cognition Conference$$cPavia$$d2025-05-07 - 2025-05-10$$wItaly
001048932 245__ $$aMicroarchitectural differences between White Matter Lesions and Normal-Appearing White Matter across Arterial Territories: Insights from Neurite Orientation Dispersion and Density Imaging
001048932 260__ $$c2025
001048932 3367_ $$0PUB:(DE-HGF)1$$2PUB:(DE-HGF)$$aAbstract$$babstract$$mabstract$$s1765459203_31331
001048932 3367_ $$033$$2EndNote$$aConference Paper
001048932 3367_ $$2BibTeX$$aINPROCEEDINGS
001048932 3367_ $$2DRIVER$$aconferenceObject
001048932 3367_ $$2DataCite$$aOutput Types/Conference Abstract
001048932 3367_ $$2ORCID$$aOTHER
001048932 520__ $$aWhite Matter Lesions (WML) are linked to aging and vascular risk factors, while their microstructural mechanisms remain largely unclear. Using Neurite Orientation Dispersion and Density Imaging (NODDI), we investigated microarchitectural properties in WML in 915 participants (47% female, ages 18-85) from the population-based 1000BRAINS study.Microstructural properties, i.e. FA, extracellular volume fraction (ECVF), neurite density (ICVF) and dispersion (ODI) were derived from T1- and diffusion-weighted MRI for WML and normal-appearing white matter (NAWM). Within-person differences between WML and NAWM were calculated for each property and related to age, cardiovascular risk (e.g., blood pressure), and vascular supply. Older age is associated with increased ECVF and ODI differences, but smaller ICVF differences. Mostly similar patterns were found for higher cardiovascular risk. In contrast to expectations, FA differences decreased with age. Compared to NAWM, WML show an increased ECVF in anterior-supplied, while ICVF in medial-supplied and ODI in posterior-supplied cerebral artery regions decrease. Together, our data indicate a non-uniform distribution of microstructural changes in WML across vascular territories, with additional variation linked to cardiovascular risk and age. Overall, the data suggest a greater reduction in neurite density in WML compared to NAWM in relation to older age.
001048932 536__ $$0G:(DE-HGF)POF4-5251$$a5251 - Multilevel Brain Organization and Variability (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001048932 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
001048932 7001_ $$0P:(DE-Juel1)166110$$aBittner, Nora$$b1$$eCorresponding author$$ufzj
001048932 7001_ $$0P:(DE-Juel1)181023$$aMiller, Tatiana$$b2$$ufzj
001048932 7001_ $$0P:(DE-Juel1)180197$$aDellani, Paulo R.$$b3$$ufzj
001048932 7001_ $$0P:(DE-Juel1)131675$$aCaspers, Svenja$$b4$$ufzj
001048932 909CO $$ooai:juser.fz-juelich.de:1048932$$popenaire$$pVDB$$pec_fundedresources
001048932 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)196813$$aForschungszentrum Jülich$$b0$$kFZJ
001048932 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)166110$$aForschungszentrum Jülich$$b1$$kFZJ
001048932 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)181023$$aForschungszentrum Jülich$$b2$$kFZJ
001048932 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)180197$$aForschungszentrum Jülich$$b3$$kFZJ
001048932 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131675$$aForschungszentrum Jülich$$b4$$kFZJ
001048932 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5251$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
001048932 9141_ $$y2025
001048932 920__ $$lno
001048932 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
001048932 980__ $$aabstract
001048932 980__ $$aVDB
001048932 980__ $$aI:(DE-Juel1)INM-1-20090406
001048932 980__ $$aUNRESTRICTED